part_lop_wins

Reliable and flexible tools for scoring redistricting plans using
common measures and metrics. These functions provide key direct access to
tools useful for non-simulation analyses of redistricting plans, such as for
measuring compactness or partisan fairness. Tools are designed to work with
the 'redist' package seamlessly.

Christopher T. Kenny

redistmetrics

Redistricting Metrics

Cory McCartan

Ben Fifield

Kosuke Imai

part_lop_wins function

<dl><dt>plans</dt>
<dd>A <code>redist_plans</code> object or plans_matrix where each row indicates a district assignment and each column is a plan.</dd>
<dt>shp</dt>
<dd>A <code>redist_map</code> object, tibble, or data frame containing other columns.</dd>
<dt>dvote</dt>
<dd>Unqouted name of column in <code>shp</code> with total population.</dd>
<dt>rvote</dt>
<dd>Unqouted name of column in <code>shp</code> with group population.</dd></dl>

Arguments

Calculate Lopsided Wins — part_lop_wins

<dl>

<dt>plans</dt>
<dd>A <code>redist_plans</code> object or plans_matrix where each row indicates a district assignment and each column is a plan.</dd>


<dt>shp</dt>
<dd>A <code>redist_map</code> object, tibble, or data frame containing other columns.</dd>


<dt>dvote</dt>
<dd>Unqouted name of column in <code>shp</code> with total population.</dd>


<dt>rvote</dt>
<dd>Unqouted name of column in <code>shp</code> with group population.</dd>

</dl>

part_lop_wins: Calculate Lopsided Wins

Description

Usage

Value

Arguments

References

Examples